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Cited by 391

The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.

Metabolic features of chronic fatigue syndrome

Open access
Naviaux, Robert K., Naviaux, Jane C., Li, Kefeng, Bright, A. Taylor, Alaynick, William A., Wang, Lin, Baxter, Asha, Nathan, Neil, Anderson, Wayne, Gordon, Eric·2016·Proceedings of the National Academy of Sciences

Abstract

Significance: Chronic fatigue syndrome is a multisystem disease that causes long-term pain and disability. It is difficult to diagnose because of its protean symptoms and the lack of a diagnostic laboratory test. We report that targeted, broad-spectrum metabolomics of plasma not only revealed a characteristic chemical signature but also revealed an unexpected underlying biology. Metabolomics showed that chronic fatigue syndrome is a highly concerted hypometabolic response to environmental stress that traces to mitochondria and was similar to the classically studied developmental state of dauer. This discovery opens a fresh path for the rational development of new therapeutics and identifies metabolomics as a powerful tool to identify the chemical differences that contribute to health and disease.

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Crossref · 10.1073/pnas.1607571113

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Metadata

Authors
Naviaux, R. K., Naviaux, J. C., Li, K., Bright, A. T., Alaynick, W. A., Wang, L., Baxter, A., Nathan, N., Anderson, W., & Gordon, E.
Venue
Proceedings of the National Academy of Sciences
Published
2016-08-29
Volume
113
Issue
37
Pages
E5472-80
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2509132807
Cited by
391
References
89
FWCI
27.94
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Metabolic features of chronic fatigue syndrome. https://app.cochat.ai/papers/10.1073/pnas.1607571113
The paper
Naviaux, R. K., Naviaux, J. C., Li, K., Bright, A. T., Alaynick, W. A., Wang, L., Baxter, A., Nathan, N., Anderson, W., & Gordon, E. (2016). Metabolic features of chronic fatigue syndrome. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1607571113

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.